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Amazon Operations Engineer Jobs in Newark, DE (NOW HIRING)

Amazon

Area Manager

Logan Township, NJ · On-site

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ...

Amazon

Area Manager

Logan Township, NJ

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ...

Atria Group LLC

Sr. Network Engineer

Wilmington, DE · On-site

$100K - $138K/yr

... operational support or 4 years of Leadership experience in an engineering capacity for medium to ... Amazon Web Services) or other current cloud offerings. - Working knowledge of Python or other ...

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Amazon Operations Engineer information

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$35.2K

$83.1K

$132K

How much do amazon operations engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for amazon operations engineer in Newark, DE is $83,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $91,900.00 per year, depending on experience, location, and employer.

What does an Amazon Operations Engineer do?

An Amazon Operations Engineer is responsible for ensuring the smooth and efficient functioning of Amazon's fulfillment centers and supply chain operations. They focus on optimizing processes, maintaining equipment, and implementing new technologies to improve productivity and safety. Operations Engineers also analyze data to identify areas for improvement and collaborate with cross-functional teams to solve operational challenges. Their work is essential in supporting Amazon’s fast-paced and high-volume logistics network.

What are some common challenges faced by Amazon Operations Engineers, and how can they be addressed?

Amazon Operations Engineers often encounter challenges such as managing large-scale, fast-paced environments, troubleshooting complex technical issues, and ensuring minimal downtime for critical systems. To address these, strong problem-solving skills, effective time management, and collaboration with cross-functional teams are essential. Proactively maintaining documentation, staying current with Amazon’s evolving technologies, and participating in regular training help Operations Engineers stay prepared for unexpected incidents and continuous improvement.

What are the key skills and qualifications needed to thrive as an Amazon Operations Engineer, and why are they important?

To thrive as an Amazon Operations Engineer, you need a solid background in industrial or mechanical engineering, process optimization, and logistics, typically supported by a relevant engineering degree. Familiarity with data analysis tools (such as SQL and Excel), warehouse management systems, and Lean Six Sigma certifications is highly beneficial. Strong problem-solving abilities, communication skills, and leadership qualities help you excel in cross-functional teams and drive process improvements. These skills are crucial for ensuring operational efficiency, safety, and scalability in Amazon's fast-paced fulfillment environment.

What are popular job titles related to Amazon Operations Engineer jobs in Newark, DE?

For Amazon Operations Engineer jobs in Newark, DE, the most frequently searched job titles are:

What job categories do people searching Amazon Operations Engineer jobs in Newark, DE look for?

The top searched job categories for Amazon Operations Engineer jobs in Newark, DE are:

What cities near Newark, DE are hiring for Amazon Operations Engineer jobs?

Cities near Newark, DE with the most Amazon Operations Engineer job openings:

Amazon Operations Engineer jobs near you
Infographic showing various Amazon Operations Engineer job openings in Newark, DE as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $83,128 per year, or $40 per hour.

Lead Software Engineer - Python/PySpark/Databricks/AWS

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 16 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks

Job description


We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer - Python/PySpark/Databricks/AWS at JPMorganChase within the Corporate Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Experience building and operating Databricks Lakehouse solutions hosted on Amazon Web Services (AWS), including Amazon S3, Identity and Access Management (IAM), Key Management Service (KMS), basic networking concepts (VPC/security groups), and logging/auditing; Experience using Delta Lake (ACID-compliant tables, partitioning strategies, schema evolution) and Apache Spark on Databricks, including performance optimization (cluster sizing, skew mitigation, join strategies, caching, and file sizing/compaction); Experience delivering batch and streaming data pipelines (Structured Streaming, incremental processing, backfills, late-arriving data handling) and implementing governance/security controls in Databricks (e.g., Unity Catalog, table/column-level permissions, credential passthrough where applicable), with operational ownership including monitoring/alerting, incident response, root-cause analysis (RCA), and service level objective/service level agreement (SLO/SLA) management.
  • Advanced in one or more programming language(s) including Python, PySpark
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Architect Databricks Lakehouse solutions, including bronze/silver/gold (or equivalent) layering and domain-oriented data products; implement resilient, scalable ingestion from AWS sources into Databricks using batch and streaming patterns (including CDC where required).
  • Build maintainable pipelines using Delta Live Tables (DLT) and/or Databricks Jobs/Workflows with modular design, documentation, and runbooks; ensure production readiness through retries, checkpointing, idempotency, safe re-runs, and defined replay/backfill procedures; implement testing practices including unit/integration tests, data quality checks, and contract testing; Apply governance-by-design controls (least privilege, PII classification, auditing, lineage/metadata, controlled sharing/consumption); optimize Spark/Delta performance and cost (cluster right-sizing, storage layout, job/warehouse spend); lead design/code reviews and mentor engineers; partner cross-functionally with stakeholders and security/platform teams; deliver CI/CD and infrastructure-as-code for Databricks + AWS with promotion across environments and strong version control/code review discipline.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills
  • AI experience

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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